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5 Reasons to Measure Web Experience

Sidharth Kumar
Exoprise

Today's web applications are complex and, so to, are the networks and infrastructure that transmit the packets that deliver those SaaS applications. Bandwidth consumption and network congestion issues continue to plague the Internet, home networks, and Wi-Fi access points.

Often, these network slowdowns impact the performance of business-critical enterprise apps such as Microsoft Teams, Salesforce, Zoom, Cisco WebEx, etc. Calculating an objective measurement of employee experience with websites and SaaS apps by technology support teams is becoming the trend in the future.

1. Device Proliferation

The global pandemic, corporate digital transformation, modern cultural revolution, and most importantly, BYOD/#WorkAnywhere initiatives have led to mass device proliferation. On average, each worker has 2-2.5 devices, and this number is bound to increase in years to come. Customers are using laptops, mobile, PC, desktops to connect to online services. Another 127 devices are connected to the Internet every second and by 2027, there will be 41 billion IoT devices.

Managing this plethora of devices for hundreds to thousands of remote employees will be a monumental challenge for IT. Technology consumption has changed over the past decade, and workers expect streamlined management, smooth integration, and immediate use of their devices.

2. Single Page App (SPA) Popularity

SPA architecture offers the most recent web technology trend since 2020. Web applications including Facebook, Gmail, Google Maps, Amazon, Twitter, etc., work in the browser, are faster and do not need any page to reload or waiting time, thus making the end-user experience dynamic and responsive.

Recent data from Statista suggests that nearly half of the global website traffic is through mobile devices. Companies are looking for opportunities to optimize mobile and web shopping experiences for end-users and switch to SPA. As market competition intensifies to deliver services, the clear winner differentiating the business will provide the highest web experience score. Expect to see higher engagement levels and business growth with the application development shift to SPA.

3. Reduce Employee Attrition

According to Forrester, "Remote work will settle at 3X pre-pandemic levels, offering an opportunity for firms to snap up top talent and keep them happier."

To retain the best talent, support teams will need to align their technology experience practices with HR. Diagnosing and troubleshooting these issues in the modern IT world using traditional tools can be lengthy and costly. However, a seamless end-user experience with workplace technology makes workers productive and wanting to stick to their employer. As a result, enterprises gain employee trust and a competitive advantage for attracting and retaining top talent.

4. Increase Conversions and Digital Engagement

Optimizing the overall experience for end-users drives higher engagement levels and boosts conversion rates for the business. While digital marketers focus on design aesthetics and perform A/B tests on different variations of a website, customers care about how a particular site performs at their end.

For example, if a popular e-commerce application hosted on a server responds slow to browser requests, customers will ultimately abandon their shopping carts. A weaker brand perception then gets reflected in online reviews which dissuades most new shoppers as they look up online reviews for validation. Businesses agree that it's more expensive to acquire a new customer than a returning one, and 88% of online consumers are unlikely to return to a website after suffering a poor experience.

5. Better Quality of Service

IT professionals need visibility and understanding into the performance of delivered SaaS service or enterprise applications like Microsoft 365, especially when the workforce is geographically spread. These applications run on the cloud and are out of control for IT.

For example, latency and slow page-loading issues between client devices (mobile, desktop, laptop) and remote web servers degrade performance for end-users. Granular insights about employee and customer home networks, client browser application, Wi-Fi strength, server infrastructure, etc., make sure that admins can identify bottlenecks and accelerate troubleshooting. Normalizing and quantifying collected insights provides IT an experience benchmark to start engaging with end-users in the right way.

Sidharth Kumar is Director of Product Marketing at Exoprise

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

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5 Reasons to Measure Web Experience

Sidharth Kumar
Exoprise

Today's web applications are complex and, so to, are the networks and infrastructure that transmit the packets that deliver those SaaS applications. Bandwidth consumption and network congestion issues continue to plague the Internet, home networks, and Wi-Fi access points.

Often, these network slowdowns impact the performance of business-critical enterprise apps such as Microsoft Teams, Salesforce, Zoom, Cisco WebEx, etc. Calculating an objective measurement of employee experience with websites and SaaS apps by technology support teams is becoming the trend in the future.

1. Device Proliferation

The global pandemic, corporate digital transformation, modern cultural revolution, and most importantly, BYOD/#WorkAnywhere initiatives have led to mass device proliferation. On average, each worker has 2-2.5 devices, and this number is bound to increase in years to come. Customers are using laptops, mobile, PC, desktops to connect to online services. Another 127 devices are connected to the Internet every second and by 2027, there will be 41 billion IoT devices.

Managing this plethora of devices for hundreds to thousands of remote employees will be a monumental challenge for IT. Technology consumption has changed over the past decade, and workers expect streamlined management, smooth integration, and immediate use of their devices.

2. Single Page App (SPA) Popularity

SPA architecture offers the most recent web technology trend since 2020. Web applications including Facebook, Gmail, Google Maps, Amazon, Twitter, etc., work in the browser, are faster and do not need any page to reload or waiting time, thus making the end-user experience dynamic and responsive.

Recent data from Statista suggests that nearly half of the global website traffic is through mobile devices. Companies are looking for opportunities to optimize mobile and web shopping experiences for end-users and switch to SPA. As market competition intensifies to deliver services, the clear winner differentiating the business will provide the highest web experience score. Expect to see higher engagement levels and business growth with the application development shift to SPA.

3. Reduce Employee Attrition

According to Forrester, "Remote work will settle at 3X pre-pandemic levels, offering an opportunity for firms to snap up top talent and keep them happier."

To retain the best talent, support teams will need to align their technology experience practices with HR. Diagnosing and troubleshooting these issues in the modern IT world using traditional tools can be lengthy and costly. However, a seamless end-user experience with workplace technology makes workers productive and wanting to stick to their employer. As a result, enterprises gain employee trust and a competitive advantage for attracting and retaining top talent.

4. Increase Conversions and Digital Engagement

Optimizing the overall experience for end-users drives higher engagement levels and boosts conversion rates for the business. While digital marketers focus on design aesthetics and perform A/B tests on different variations of a website, customers care about how a particular site performs at their end.

For example, if a popular e-commerce application hosted on a server responds slow to browser requests, customers will ultimately abandon their shopping carts. A weaker brand perception then gets reflected in online reviews which dissuades most new shoppers as they look up online reviews for validation. Businesses agree that it's more expensive to acquire a new customer than a returning one, and 88% of online consumers are unlikely to return to a website after suffering a poor experience.

5. Better Quality of Service

IT professionals need visibility and understanding into the performance of delivered SaaS service or enterprise applications like Microsoft 365, especially when the workforce is geographically spread. These applications run on the cloud and are out of control for IT.

For example, latency and slow page-loading issues between client devices (mobile, desktop, laptop) and remote web servers degrade performance for end-users. Granular insights about employee and customer home networks, client browser application, Wi-Fi strength, server infrastructure, etc., make sure that admins can identify bottlenecks and accelerate troubleshooting. Normalizing and quantifying collected insights provides IT an experience benchmark to start engaging with end-users in the right way.

Sidharth Kumar is Director of Product Marketing at Exoprise

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...